Publications

Qinghe Zeng, Christophe Klein, Stefano Caruso, Pascale Maille, Narmin Ghaffari Laleh, Daniele Sommacale, Alexis Laurent, Giuliana Amaddeo, David Gentien, Audrey Rapinat, Hélène Regnault, Cécile Charpy, Cong Trung Nguyen, Christophe Tournigand, Raffaele Brustia, Jean Michel Pawlotsky, Jakob Nikolas Kather, Maria Chiara Maiuri, Nicolas Loménie, und Julien Calderaro. Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology. J. Hepatol., (77)1:116--127, Elsevier BV, Juli 2022. [PUMA: topic_lifescience artificial deep gene image immune intelligence; learning; pathology; signatures; slide whole]

Martin Pippel, David Jebb, Franziska Patzold, Sylke Winkler, Heiko Vogel, Gene Myers, Michael Hiller, und Anna K Hundsdoerfer. A highly contiguous genome assembly of the bat hawkmoth Hyles vespertilio (Lepidoptera: Sphingidae). Gigascience, (9)1Oxford University Press (OUP), Januar 2020. [PUMA: PacBio annotation; assembly; comparison gene genome hawkmoth-silk long moth reads; topic_lifescience]

Sonja J Prohaska, Sarah J Berkemer, Fabian Gärtner, Thomas Gatter, Nancy Retzlaff, Students of the Graphs and Biological Networks Lab 2017, Christian Höner Zu Siederdissen, und Peter F Stadler. Expansion of gene clusters, circular orders, and the shortest Hamiltonian path problem. J. Math. Biol., (77)2:313--341, August 2018. [PUMA: Evolution Hamiltonian Kalmanson Non-homologous Phylogenetic Unequal clusters; combinatorics; crossing gene metrics; of over path problems; recombination;]

Sebastian Rosch, Karl-Philipp Rommel, Markus Scholz, Holger Thiele, und Philipp Lurz. Transcriptomic research in heart failure with preserved ejection fraction: Current state and future perspectives. Card. Fail. Rev., (6):e24, Radcliffe Group Ltd, März 2020. [PUMA: Heart LIFE-Heart; RNA; blood cells; ejection expression; failure fraction; gene mononuclear peripheral preserved transcriptome with]

Ali Al-Fatlawi, Eka Rusadze, Alexander Shmelkin, Negin Malekian, Cigdem Ozen, Christian Pilarsky, und Michael Schroeder. Netrank: network-based approach for biomarker discovery. BMC Bioinformatics, (24)1:304, Juli 2023. [PUMA: topic_lifescience Biomarker; Cancer; Gene Protein R RNA expression; networks; package;]